About me

Y. Samuel Wang (Sam) is an assistant professor at Cornell in the Department of Statistics and Data Science. Prior to Cornell, he was a principal researcher (post-doc) at the University of Chicago’s Booth School of Business. He received his PhD in Statistics from the University of Washington and an undergraduate degree in applied math at Rice University. He also worked as a management consultant for a few years before embarking on his PhD.

He enjoys thinking about problems where the goal is to discover interpretable structure which underlies the data generating process; this includes problems in the areas of causal discovery and graphical models. His work has been published in venues such as the Annals of Statistics, Journal of the American Statistical Association, Biometrika, Journal of Machine Learning Research, NeurIPS, ICML, and UAI. He has received an NSF CAREER Award and the Tom Ten Have Award.